Labeling/names of themes
    1.
    发明授权

    公开(公告)号:US11243994B2

    公开(公告)日:2022-02-08

    申请号:US16243600

    申请日:2019-01-09

    Inventor: Roni Romano

    Abstract: By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. The disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

    Automated ontology development
    2.
    发明授权

    公开(公告)号:US10679134B2

    公开(公告)日:2020-06-09

    申请号:US16458482

    申请日:2019-07-01

    Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

    Automated ontology development
    3.
    发明授权

    公开(公告)号:US10339452B2

    公开(公告)日:2019-07-02

    申请号:US14173435

    申请日:2014-02-05

    Abstract: Systems and methods of automated ontology development include a corpus of communication data. The corpus of communication data includes communication data from a plurality of interactions and is processed. A plurality of terms are extracted from the corpus. Each term of the plurality is a plurality of words that identify a single concept within the corpus. An ontology is automatedly generated from the extracted terms.

    Call summary
    4.
    发明授权

    公开(公告)号:US09977830B2

    公开(公告)日:2018-05-22

    申请号:US14610249

    申请日:2015-01-30

    CPC classification number: G06F17/30719 G06N5/022 G06Q10/10 G06Q30/016

    Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.

    Funnel analysis
    5.
    发明授权

    公开(公告)号:US09904927B2

    公开(公告)日:2018-02-27

    申请号:US15409921

    申请日:2017-01-19

    CPC classification number: G06Q30/016 G06N5/022 G06N99/005 G06Q10/0637

    Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.

    CALL SUMMARY
    6.
    发明申请
    CALL SUMMARY 有权
    电话摘要

    公开(公告)号:US20150220630A1

    公开(公告)日:2015-08-06

    申请号:US14610249

    申请日:2015-01-30

    CPC classification number: G06F17/30719 G06N5/022 G06Q10/10 G06Q30/016

    Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.

    Abstract translation: 描述了一种用于提供大量通信数据的摘要和分析的更快速和更简化的系统。 公开了采用本体来自动总结通信数据并以不需要用户收听通信数据的形式向用户呈现摘要的系统和方法。 在一个实施例中,摘要以相关通信数据的书面片段或短片段的形式呈现,捕获与用户执行的搜索有关的数据的含义。 这样的片段可以基于主题和意义单位识别。

    LABELING/NAMES OF THEMES
    7.
    发明申请

    公开(公告)号:US20220156305A1

    公开(公告)日:2022-05-19

    申请号:US17666388

    申请日:2022-02-07

    Inventor: Roni Romano

    Abstract: By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. The disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

    System and method of text zoning
    8.
    发明授权

    公开(公告)号:US11217252B2

    公开(公告)日:2022-01-04

    申请号:US16553451

    申请日:2019-08-28

    Abstract: A method of zoning a transcription of audio data includes separating the transcription of audio data into a plurality of utterances. A that each word in an utterances is a meaning unit boundary is calculated. The utterance is split into two new utterances at a work with a maximum calculated probability. At least one of the two new utterances that is shorter than a maximum utterance threshold is identified as a meaning unit.

    Labeling/naming of themes
    9.
    发明授权

    公开(公告)号:US10191978B2

    公开(公告)日:2019-01-29

    申请号:US14588914

    申请日:2015-01-03

    Inventor: Roni Romano

    Abstract: By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. The disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

    Labeling/naming of themes
    10.
    发明授权

    公开(公告)号:US10078689B2

    公开(公告)日:2018-09-18

    申请号:US14529103

    申请日:2014-10-30

    Inventor: Roni Romano

    CPC classification number: G06F16/367 G06F16/287 G06N5/022 G06N20/00

    Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.

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